FriendFeed ‘Likes’ Compatibility Index

A favorite feature of FriendFeed is the Like. You get to indicate your interest in an item with a simple click of the Like button.

The act of applying a Like does two things:

• Provides feedback to the content creator
• Reveals what your interests are

It’s that second point that is interesting. Amazon.com matches you to other shoppers based on what you buy in order to provide recommendations. Toluu matches you with others based on common RSS feeds. Diigo matches you based on common bookmarks and tags.

How about matching people based on common FriendFeed Likes? Call it the FriendFeed Likes Compatibility Index.

Curious about this, I went to my Likes tab on FriendFeed. I went back to my 50 most recent Likes, and tallied the number of Likes by others. By doing this, I figured I’d see with whom I had the most in common.

The top 29 people are shown below – I put the cutoff at having 4 Likes in common. Some of these folks I know, others I really haven’t interacted with yet.

Here are my top matches in FriendFeed:

1. Atul Arora (13 likes in common)
2. Louis Gray (13)
3. Mitchell Tsai (11)
4. Shey (11)
5. Robert Scoble (10)
6. Thomas Hawk (9)
7. Julian Baldwin ( 8 )
8. Jason Kaneshiro ( 8 )
9. Mark Trapp (7)
10. Charlie Anzman (6)
11. Mark Dykeman (6)
12. Bearded Dave (5)
13. Bwana McCall (5)
14. Mack D. Male (5)
15. Mike Fruchter (5)
16. Phil Glockner (5)
17. Alejandro S. (4)
18. Andrew Badera (4)
19. Anthony Farrior (4)
20. Dobromir Hadzhiev (4)
21. edythe (4)
22. Kenichi Matsumoto (4)
23. Marco (4)
24. Nikpay (4)
25. Rob Diana (4)
26. Ruth Ferguson (4)
27. Shawn L Morrissey (4)
28. Susan Beebe (4)
29. Timothy Neilen (4)

One small observation – I’m not in sync with a lot of women, am I? What’s up there? FriendFeed Is from Mars, Twitter Is from Venus?

Now what I need to do is to subscribe to those on this list that I haven’t yet. Also of note – there were 241 different people with whom I shared a Like in this analysis. Really great how FriendFeed lets you come into contact with a wide range of people.

Would be cool if a script could automate the FriendFeed Likes Compatibility Index…

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See this item on FriendFeed: http://friendfeed.com/search?q=%22FriendFeed+%27Likes%27+Compatibility+Index%22&public=1